Energy Allocation of the Community Energy Storage System: A Contribution-Based Incentive Mechanism
Bibliographic record
Abstract
In this study, a relative contribution-based incentive mechanism is proposed to allocate energy from a shared community battery energy storage system (BESS) among prosumers. Relative contribution refers to the amount of energy shared by any prosumer relative to its maximum load. Consideration of relative contribution of each prosumer increases fairness and ensures equitable access to community BESS for different sizes of prosumers. The proposed mechanism is realized by formulating two indices: a contribution index to capture historical contributions of different prosumers and a proportional index for accepting energy from prosumers. It has been demonstrated through simulations that the consideration of two separate indices and their updating after each interval mitigates gaining long-term benefits with smaller contributions and diminishing the contributions of smaller prosumers. Finally, simulation results have shown the superiority of the proposed method, over absolute contribution methods, for equitable access of BESS energy to different prosumer sizes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".